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xlm-r-qa-squad1.1-squad2.0-tf-2 – AI Model by mrizalf7 | AlphaNeural AI
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mrizalf7
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xlm-r-qa-squad1.1-squad2.0-tf-2
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transformers
pytorch
tensorboard
xlm-roberta
question-answering
generated_from_trainer
mit
endpoints_compatible
us
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xlm-r-qa-squad1.1-squad2.0-tf-2
This model is a fine-tuned version of
mrizalf7/xlm-r-qa-squad-2.0
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.5894
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
7
3.7016
No log
2.0
14
3.5894
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
